Self-organization of local cortical circuits and cortical orientation maps: A nonlinear hebbian model of the visual cortex with adaptive lateral couplings

Burger, Thomas and Lang, Elmar Wolfgang (2001) Self-organization of local cortical circuits and cortical orientation maps: A nonlinear hebbian model of the visual cortex with adaptive lateral couplings. ZEITSCHRIFT FUR NATURFORSCHUNG C-A JOURNAL OF BIOSCIENCES, 56 (5-6). pp. 464-478. ISSN 0939-5075

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Abstract

A nonlinear. recurrent neural network model of the visual cortex is presented. Orientation maps emerge from adaptable afferent as well as plastic local intracortical circuits driven by random input stimuli. Lateral coupling structures self-organize into DOG profiles under the influence of pronounced emerging cortical activity blobs. The model's simplified architecture and features are modeled to largely mimik neurobiological findings.

Item Type: Article
Uncontrolled Keywords: OCULAR DOMINANCE COLUMNS; MONKEY STRIATE CORTEX; OFF-CENTER INPUTS; RECEPTIVE-FIELDS; NEURONAL-ACTIVITY; GANGLION-CELLS; NEURAL-NETWORK; CAT; SELECTIVITY; PATTERNS; self-organisation; local cortical circuits; nonlinear hebbian learning
Subjects: 500 Science > 570 Life sciences
Divisions: Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Depositing User: Dr. Gernot Deinzer
Date Deposited: 01 Feb 2022 15:47
Last Modified: 01 Feb 2022 15:47
URI: https://pred.uni-regensburg.de/id/eprint/41485

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